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94 Publications
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2021 | Journal Article | LibreCat-ID: 29662
Schenke, Maximilian, and Oliver Wallscheid. “Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.” ArXiv Preprint ArXiv:2105.08990, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 21557
Brosch, Anian, Oliver Wallscheid, and Joachim Böcker. “Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors.” IEEE Transactions on Industrial Informatics, 2021. https://doi.org/10.1109/tii.2021.3060469.
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2021 | Preprint | LibreCat-ID: 29655
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning.” ArXiv Preprint ArXiv:2103.16323, 2021.
LibreCat
2020 | Journal Article | LibreCat-ID: 21252
Traue, Arne, Gerrit Book, Wilhelm Kirchgässner, and Oliver Wallscheid. “Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control.” IEEE Transactions on Neural Networks and Learning Systems, 2020, 1–10. https://doi.org/10.1109/tnnls.2020.3029573.
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2020 | Journal Article | LibreCat-ID: 21250
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Estimating Electric Motor Temperatures with Deep Residual Machine Learning.” IEEE Transactions on Power Electronics 36, no. 7 (2020): 7480–88. https://doi.org/10.1109/tpel.2020.3045596.
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2020 | Journal Article | LibreCat-ID: 21558
Brosch, Anian, Sören Hanke, Oliver Wallscheid, and Joachim Böcker. “Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors.” IEEE Transactions on Power Electronics, 2020, 2179–90. https://doi.org/10.1109/tpel.2020.3006779.
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2020 | Conference Paper | LibreCat-ID: 29956
Stille, Karl Stephan Christian, Daniel Weber, Jarren Lange, Thorsten Vogt, Oliver Wallscheid, and Joachim Böcker. “Emulation of Microgrids for Research and Validation of Control and Operation Strategies.” In 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). IEEE, 2020. https://doi.org/10.1109/speedam48782.2020.9161971.
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2020 | Journal Article | LibreCat-ID: 30033
Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives.” IEEE Transactions on Industrial Electronics 68, no. 9 (2020): 8646–56. https://doi.org/10.1109/tie.2020.3018060.
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2020 | Conference Paper | LibreCat-ID: 30036
Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Accurate Torque Estimation for Induction Motors by Utilizing Globally Optimized Flux Observers.” In 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). IEEE, 2020. https://doi.org/10.1109/speedam48782.2020.9161955.
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2020 | Journal Article | LibreCat-ID: 29649
Heid, Stefan, Daniel Weber, Henrik Bode, Eyke Hüllermeier, and Oliver Wallscheid. “OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.” Journal of Open Source Software 5, no. 54 (2020): 2435.
LibreCat
2020 | Journal Article | LibreCat-ID: 29644
Bode, Henrik, Stefan Heid, Daniel Weber, Eyke Hüllermeier, and Oliver Wallscheid. “Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.” ArXiv Preprint ArXiv:2005.04869, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 29641
Gedlu, Emebet Gebeyehu, Oliver Wallscheid, and Joachim Böcker. “Permanent Magnet Synchronous Machine Temperature Estimation Using Low-Order Lumped-Parameter Thermal Network with Extended Iron Loss Model.” In The 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020), 2020:937–942, 2020.
LibreCat
2020 | Journal Article | LibreCat-ID: 29643
Wallscheid, Oliver, and Etienne Florian Bouna Ngoumtsa. “Investigation of Disturbance Observers for Model Predictive Current Control in Electric Drives.” IEEE Transactions on Power Electronics 35, no. 12 (2020): 13563–13572.
LibreCat
2020 | Journal Article | LibreCat-ID: 29642
Hanke, Sören, Oliver Wallscheid, and Joachim Böcker. “Data Set Description: Identifying the Physics Behind an Electric Motor–Data-Driven Learning of the Electrical Behavior (Part II).” ArXiv Preprint ArXiv:2003.06268, 2020.
LibreCat
2020 | Journal Article | LibreCat-ID: 29640
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning.” ArXiv Preprint ArXiv:2001.06246, 2020.
LibreCat
2020 | Report | LibreCat-ID: 30034
Stender, Marius, Oliver Wallscheid, and Joachim Böcker. Data Set Description: Three-Phase IGBT Two-Level Inverter for Electrical Drives, 2020. https://doi.org/10.13140/RG.2.2.23335.37280.
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2019 | Journal Article | LibreCat-ID: 25030
Schenke, Maximilian, Wilhelm Kirchgässner, and Oliver Wallscheid. “Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept.” IEEE Transactions on Industrial Informatics, 2019, 4650–58. https://doi.org/10.1109/tii.2019.2948387.
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2019 | Conference Paper | LibreCat-ID: 21247
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines.” In 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), 2019. https://doi.org/10.1109/isie.2019.8781195.
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2019 | Conference Paper | LibreCat-ID: 21249
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors.” In 2019 IEEE International Electric Machines & Drives Conference (IEMDC), 2019. https://doi.org/10.1109/iemdc.2019.8785109.
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2019 | Conference Paper | LibreCat-ID: 30035
Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Development of a Black-Box Two-Level IGBT Three-Phase Inverter Compensation Scheme for Electrical Drives.” In 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE). IEEE, 2019. https://doi.org/10.1109/isie.2019.8781543.
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